Student Life Research Analyst II - 531054

Pay Grade/Pay Range:  Minimum: $62,800 - Midpoint: $81,700 (Salaried E10)

Department/Organization: 800201 - Student Life Assessment

Normal Work Schedule: Monday - Friday 8:00am to 5:00pm

Note to Applicants: Position is eligible for hybrid work subject to University policy.

Job Summary: The Student Life Research Analyst II provides analytical and informational support for Student Life administrators and others making strategic and tactical decisions. Independently designs and executes complex quantitative and mixed-methods studies, evaluations, and analyses. Independently structures, cleans, validates, integrates, and analyzes large or complex datasets from multiple institutional and divisional systems. Develops and maintains advanced dashboards, visualizations, and analytical reports. Completes moderate- to high-complexity and non-standard assignments independently under minimal supervision. Coaches and mentors other analysts as well as develops and delivers training to other analysts.

Additional Department Summary: Serves as a senior analytical and technical resource within the Division of Student Life. Evaluates program effectiveness and student outcomes, including engagement, wellness, persistence, and success. Strengthens data quality and analytical infrastructure. Communicates findings to technical and nontechnical audiences. Provides technical guidance and training, and contributes to applicable institutional and external reporting requirements.

Required Minimum Qualifications: Bachelor’s degree in analytics, statistics, higher education, or research and four (4) years of institutional research or data analytics experience; OR master’s degree or higher in analytics, statistics, higher education, or research and two (2) years of institutional research or data analytics experience.

Skills and Knowledge: Advanced proficiency with statistical programming or analytical tools such as R, Python, SAS, SPSS, JMP, or comparable platforms. Demonstrated knowledge and familiarity with appropriate inferential or multivariate techniques. Strong understanding of Qualtrics, Watermark, institutional student information systems, or comparable research and assessment platforms. Knowledge of FERPA, institutional data governance, research ethics, accessibility, and appropriate handling of sensitive institutional information. Excellent technical writing, consultation, and presentation skills, including explaining complex analysis and limitations to nontechnical decision-makers.

Preferred Qualifications: Doctoral degree in statistics, data science, institutional research, higher education research, quantitative social science, or a closely related analytical discipline. Demonstrated experience independently leading complex institutional research, statistical analysis, or data analytics assignments and translating results into leadership decisions. Experience writing SQL queries, integrating data from multiple enterprise sources, validating datasets, and developing reliable, documented analytical workflows. Demonstrated expertise with developing and maintaining interactive Power BI or Tableau dashboards, semantic models, data visualizations, or automated reporting solutions. Experience analyzing student engagement, retention, persistence, wellness, learning, or other higher education outcomes using institution-level administrative or survey data. Experience coaching analysts or technical contributors, reviewing analytical work for quality, and designing and delivering training to colleagues.

Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.

Advertised: 03 Nov 2026 Central Standard Time
Applications close:

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